Siddhant Bharadwaj

I am an MS in Artificial Intelligence student at Columbia University.

Previously, I was a researcher at the Indian Institute of Science, Bangalore, where I worked on visual quality assessment for AI generated images using MLLMs under Prof. Rajiv Soundararajan (in collaboration with Flipkart), and on the AI side of the Oral Cancer Screening Project under Prof. Rajesh Sundaresan and Prof. Chandra Sekhar Seelamantula. The project's screening tool, Aarogya Aarohan, was awarded Best Education Institute Exhibit of the Year at the India Mobile Congress 2025.

I have collaborated with Prof. Min Xu at Carnegie Mellon University on adapting 2D image-pretrained Transformers to 3D Cryo-ET subtomogram classification, and with Prof. Shruti Vyas at University of Central Florida on MLLM-based geolocalization. I also led Computer Vision efforts at CORD.ai, a non-profit deep learning research community with 800+ members across 12 countries, and contributed to Cohere for AI's Maya project on spatial reasoning in VLMs.

I graduated with a major in Electrical and Electronics and a minor in Data Science at Manipal Institute of Technology, Manipal in 2024. My interest lies in deep learning, computer vision, and image processing. My current research primarily focuses on Visual Language Models (VLMs) and Multimodal Large Language Models (MLLMs).

During my undergraduate, I conducted research on AI in Health Care, AI Security and the use of Deep Learning in battery health management (in collaboration with Schneider Electric). The bulk of the work was done under Prof. Harish Kumar J.R. (MIT, Manipal), and Prof. Munesh Chandra Trivedi (NIT Agartala).

When I am not programming or doing mathematics, you will find me reading, watching sitcoms, scribbling in my journal, and more often than not posting hot takes on X (formerly known as Twitter).

If you would like to collaborate or talk about one of my projects, feel free to drop a mail.